Agent skill

Wetter Abfrage

by Alex8791-cyber in Alex8791-cyber/cognithor

Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate.

Apache-2.0Auto-check passedResearch & Science

Install Wetter Abfrage

skills CLI
$ npx skills add Alex8791-cyber/cognithor --skill wetter-abfrage -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Alex8791-cyber/cognithor wetter-abfrage --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Alex8791-cyber/cognithor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wetter_abfrage .claude/skills/wetter-abfrage && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wetter-abfrage
GitHub stars
158
Token cost
~477 tokens
SKILL.md length
114 words
Files
5
Skills in repo
3
Repo updated
First seen
Licence
Apache-2.0

At a glance

Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate.

  • Works in 5 steps: Parse location — extract city name or… → Query weather API — fetch current… → Format response — present key metrics in… → …
  • Checking the weather
  • SKILL.md covers Steps, Example and Error Handling
  • Runs Python scripts from its folder

What it does

Wetter Abfrage is an agent skill from Alex8791-cyber/cognithor. Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate. Use when checking the weather, getting a forecast, looking up temperature or wind conditions, or planning outdoor activities based on weather data.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `__init__.py`, `manifest.json` and `skill.py`).

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python… The licence is Apache-2.0.

When your agent uses it

  • Checking the weather
  • Getting a forecast
  • Looking up temperature
  • Wind conditions

Example prompts

  • “/wetter-abfrage”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Parse location — extract city name or coordinates from user input
  2. Query weather API — fetch current conditions and forecast data
  3. Format response — present key metrics in a readable summary
  4. Handle ambiguity — if multiple locations match, present options
  5. Return structured data — {"status": "ok", "result": }

What it can do on your machine

Read from SKILL.md and the folder at commit 78212af. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wetter Abfrage loads about 477 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 114 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~477

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Alex8791-cyber/cognithor at commit 78212af, republished under its Apache-2.0 licence (© Alex8791-cyber). 114 words, ~477 tokens.

Download SKILL.mdSave it as .claude/skills/wetter-abfrage/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
wetter-abfrage
description
Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate. Use when checking the weather, getting a forecast, looking up temperature or wind conditions, or planning outdoor activities based on weather data.

Wetter Abfrage

Retrieves current weather conditions (temperature, humidity, wind speed, conditions) and multi-day forecasts for a user-specified location.

Steps

  1. Parse location — extract city name or coordinates from user input:
    cognithor wetter_abfrage München
  2. Query weather API — fetch current conditions and forecast data:
    python
    async with httpx.AsyncClient() as client:
        resp = await client.get(
            f"{API_BASE}/weather",
            params={"q": location, "units": "metric"}
        )
        data = resp.json()
  3. Format response — present key metrics in a readable summary:
    München — 18°C, leicht bewölkt
    Luftfeuchtigkeit: 62% | Wind: 12 km/h NW
    Vorhersage: Mo 20°C ☀️ | Di 17°C 🌧️ | Mi 19°C ⛅
  4. Handle ambiguity — if multiple locations match, present options:
    Meinten Sie: (1) München, DE  (2) München, AT?
  5. Return structured data — {"status": "ok", "result": <weather_data>}

Example

User > Wie wird das Wetter morgen in Berlin?
Cognithor > Berlin — morgen: 22°C, sonnig
         Luftfeuchtigkeit: 45% | Wind: 8 km/h SO
         UV-Index: 6 (hoch) — Sonnenschutz empfohlen

Error Handling

ErrorCauseRecovery
Location not foundTypo or unknown cityAsk user to re-enter or provide coordinates
API timeoutNetwork issue or rate limitRetry once after 2s; report failure if persistent
Missing data fieldsPartial API responseReturn available fields, note missing ones

© Alex8791-cyber, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/wetter_abfrage of Alex8791-cyber/cognithor.

  • SKILL.md
  • __init__.py
  • manifest.json
  • skill.py
  • test_skill.py

Open the folder on GitHubat commit 78212af

Compare with similar skills

Wetter Abfrage next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wetter Abfrage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wetter Abfrage this skillAlex8791-cyber/cognithor158—~477Automated safety check: PassApache-2.0
AstropyzLanqing/codex-claude-academic-skills4.7k13 repos~2.9kAutomated safety check: PassBSD-3-Clause
PymatgenzLanqing/codex-claude-academic-skills4.7k11 repos~5kAutomated safety check: PassMIT
Cantera Ignition DelayK-Dense-AI/scientific-agent-skills48k1 repos~2.2kAutomated safety check: PassMIT
Weathertrpc-group/trpc-agent-go1.9k8 repos~591Automated safety check: PassApache-2.0
Pymol VisualizationChatMol/ChatMol373—~1.2kAutomated safety check: PassMIT

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Questions about Wetter Abfrage

What does Wetter Abfrage do?

Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate. Wetter Abfrage is an agent skill from Alex8791-cyber/cognithor. Weather query skill that retrieves current temperature, humidity, wind speed, and multi-day forecasts for a given city or coordinate.

When should I use Wetter Abfrage?

Wetter Abfrage fits situations like: checking the weather; getting a forecast; looking up temperature; wind conditions.

How do I install Wetter Abfrage in Claude Code?

Run `npx skills add Alex8791-cyber/cognithor --skill wetter-abfrage -a claude-code`. Or copy the skill folder (skills/wetter_abfrage in Alex8791-cyber/cognithor) into .claude/skills/wetter-abfrage in your project. Claude Code loads it when a task matches its description.

How do I install Wetter Abfrage in Codex?

Run `npx skills add Alex8791-cyber/cognithor --skill wetter-abfrage -a codex`. Or copy the skill folder (skills/wetter_abfrage in Alex8791-cyber/cognithor) into .agents/skills/wetter-abfrage in your project. Codex loads it when a task matches its description.

Can I use Wetter Abfrage in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Alex8791-cyber/cognithor --skill wetter-abfrage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wetter-abfrage, .gemini/skills/wetter-abfrage, .github/skills/wetter-abfrage and .opencode/skills/wetter-abfrage in your project.

What does Wetter Abfrage need to run?

Going by SKILL.md and its folder, Wetter Abfrage needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Wetter Abfrage access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wetter Abfrage safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wetter Abfrage use?

Wetter Abfrage is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wetter Abfrage use?

About 477 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wetter Abfrage?

Skills that share tags, products or a category with Wetter Abfrage: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wetter Abfrage?

Alex8791-cyber (a GitHub user) maintains it in Alex8791-cyber/cognithor, which has 158 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.

Source: Alex8791-cyber/cognithor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.